Modern multi-layer perceptron (MLP) models have shown competitive results in learning
visual representations without self-attention. However, existing MLP models are not good at …

Recent advancements in transformer-based methods have yielded substantial success in
2D-to-3D human pose estimation. Transformer-based estimators possess inherent …

In the realm of facial analysis, accurate landmark detection is crucial for various applications,
ranging from face recognition and expression analysis to animation. Conventional heatmap …

Monocular 3D human pose estimation is an ill-posed problem in computer vision due to its
depth ambiguity. Most existing works supplement the depth information by extracting …

The estimation of 3D human poses from monocular videos presents a significant challenge.
The existing methods face the problems of deep ambiguity and self-occlusion. To overcome …

Achieving a balance between accuracy and efficiency is a critical challenge in facial
landmark detection (FLD). This paper introduces the Parallel Optimal Position Search …